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We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorithm arises from a new half-quadratic model applicable to not only the anisotropic but also isotropic forms of total variation discretizations. The per-iteration computational… (More)

We present a novel sparse signal reconstruction method " ISD " , aiming to achieve fast reconstruction and a reduced requirement on the number of measurements compared to the classical 1 minimization approach. ISD addresses failed reconstructions of 1 minimization due to insufficient measurements. It estimates a support set I from a current reconstruction… (More)

Variational models with 1-norm based regularization, in particular total variation (TV) and its variants, have long been known to offer superior image restoration quality, but processing speed remained a bottleneck, preventing their widespread use in the practice of color image processing. In this paper, by extending the grayscale image deblurring algorithm… (More)

We propose and test a simple algorithmic framework for recovering images from blurry and noisy observations based on total variation (TV) regularization when a blurring point-spread function is given. Using a splitting technique, we construct an iterative procedure of alternately solving a pair of easy subproblems associated with an increasing sequence of… (More)

In this paper, we propose a citywide and real-time model for estimating the travel time of any path (represented as a sequence of connected road segments) in real time in a city, based on the GPS trajectories of vehicles received in current time slots and over a period of history as well as map data sources. Though this is a strategically important task in… (More)

Many cities suffer from noise pollution, which compromises people's working efficiency and even mental health. New York City (NYC) has opened a platform, entitled 311, to allow people to complain about the city's issues by using a mobile app or making a phone call; <i>noise</i> is the third largest category of complaints in the 311 data. As each complaint… (More)

We present a new compressive sensing reconstruction method ISD, aiming to achieve fast reconstruction and a reduced requirement on the number of measurements compared to the classical ℓ1 minimization approach. ISD addresses failed cases of ℓ1–based construction due to insufficient measurements, in which the returned signals are not equal or even close to… (More)

The wavelet frame systems have been extensively studied due to their capability of sparsely approximating piece-wise smooth functions, such as images, and the corresponding wavelet frame-based image restoration models are mostly based on the penalization of the l1 norm of wavelet frame coefficients for sparsity enforcement. In this paper, we focus on the… (More)

Clustering Web services that groups together services with similar functionalities helps improve both the accuracy and efficiency of the Web service search engines. An important limitation of existing Web service clustering approaches is that they solely focus on utilizing WSDL (Web Service Description Language) documents. There has been a recent trend of… (More)